... Gartner First Takes Fresh insights on emerging trends Data center development leaders should abandon using broad nondisclosure agreements for AI data center developments where possible and adopt a transparent community investment framework to accelerate project approval. Overview Analysis Gartner Recommended ...
Analyst(s): Paul Wang | Autumn Stanish | Mark Jaggers | Henrique Cecci
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... more than simply reacting to change; it demands anticipation and strategic foresight. This quarterly research offers strategic insights into emerging data and analytics trends, enabling proactive and early opportunity identification. Use this guide to navigate the evolving landscape and to stay ahead in ...
... AI coding assistants and autonomous agents are transforming data science and machine learning workflows by automating repetitive tasks and enhancing productivity. For data scientists, interactive tools will be used for human-centric tasks while automation tasks will be delegated to agents. Overview ...
... Governing data and governing AI are separate endeavors that should be coordinated. Many enterprises appreciate this theoretically, but fail to coordinate tactically. This research provides data architects and AI architects with a framework for establishing such tactical coordination. Overview Problem ...
Analyst(s): Lyn Robison | Joe Maguire | JC Martel, PhD
... Data resilience underpins business continuity, supports data sovereignty and strengthens cyber insurability. Heads of I&O should collaborate across business and cybersecurity functions to address these requirements holistically, reducing operational disruption, governance vulnerabilities, and financial ...
... Access Insights Already a Gartner client? Data and analytics leaders continue to struggle to demonstrate the value of data, analytics and AI. This journey guide offers a structured and integrative approach for identifying and assessing measurable business value, continuously communicating that value ...
... Claude Code is disrupting data management not only by automating data management tasks but also by prioritizing machine-oriented design for broader AI workloads. D&A leaders must modernize strategies, upskill teams and invest in AI-optimized solutions to manage this disruption. Insights at a Glance ...
... client? D&A leaders should treat data and AI product delivery as a strategic enterprise capability. Organizations that institutionalize disciplined prioritization, tailored delivery paths and accountability, and scalable delivery practices are better-positioned to turn data and AI investments into measurable ...
Analyst(s): Richa Jha | Dalia Naguib | Soyeb Barot
... Access Insights Already a Gartner client? Data and analytics leaders should plan data governance through a strategically approach, not as a compliance exercise, to reduce rework, address risk avoidance, and accelerate decisions. Establish enterprise context, policy principles, and decision rights before ...